oxigdal-observability 0.1.6

OpenTelemetry-based observability, monitoring, and alerting for OxiGDAL
Documentation 
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//! ML-based anomaly detection.

use super::{Anomaly, AnomalyDetector, DataPoint};
use crate::error::Result;

/// Isolation Forest anomaly detector.
pub struct IsolationForestDetector {
    #[allow(dead_code)]
    threshold: f64,
}

impl IsolationForestDetector {
    /// Create a new Isolation Forest detector.
    pub fn new(threshold: f64) -> Self {
        Self { threshold }
    }
}

impl AnomalyDetector for IsolationForestDetector {
    fn detect(&self, _data: &[DataPoint]) -> Result<Vec<Anomaly>> {
        // Placeholder for ML-based detection
        // In production, this would use a proper ML library
        Ok(Vec::new())
    }

    fn update_baseline(&mut self, _data: &[DataPoint]) -> Result<()> {
        Ok(())
    }
}

/// Autoencoder-based anomaly detector.
pub struct AutoencoderDetector {
    #[allow(dead_code)]
    threshold: f64,
}

impl AutoencoderDetector {
    /// Create a new Autoencoder detector.
    pub fn new(threshold: f64) -> Self {
        Self { threshold }
    }
}

impl AnomalyDetector for AutoencoderDetector {
    fn detect(&self, _data: &[DataPoint]) -> Result<Vec<Anomaly>> {
        // Placeholder for ML-based detection
        Ok(Vec::new())
    }

    fn update_baseline(&mut self, _data: &[DataPoint]) -> Result<()> {
        Ok(())
    }
}